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Data Engineering

 

Services:

  • Enterprise data platform development (Enterprise DataHub, Data Lake, Data Warehouse).

  • Design and implementation of software solutions for processing and analysing large volumes of data.

    SQL, NoSQL, and columnar database solutions optimised for high-load environments.  

  • On-premises, cloud, and hybrid architectures with the optimal deployment model selected to fit your business needs.  

  • Migration between on-premises and cloud environments, including multi-cloud setups.  

  • Transition from commercial DBMS to open-source stacks (PostgreSQL, Hadoop, Spark, etc.).  

  • Real-time analytics platforms (real-time dashboards, event streaming, predictive analytics).  

  • AI/ML model integration for process automation, scoring, forecasting, and recommendation systems.

10
Years of experience
40
Experts
Customer loyalty system
Industry: Financial Institutions
Dataslab Enterprise DataHub
up to 1 second
event processing
+30%
increase in customer loyalty
Dataslab Cases
We specialise in implementing AI solutions for businesses
Instruments

Python, Java, Scala, SQL | Apache Spark, NiFi, Airflow | Cloudera, AWS, Azure

Our Team

We've put together a fully qualified and experienced team to develop and deliver end-to-end Big Data projects, including:

  • CCA Data Analyst
  • CCA Administrator
  • HDPCA
Our other services
What can we do for your business?

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Your trusted 
partner

Dataslab GmbH
Germany, Saarlouis
 
Dataslab GmbH
Austria, Vienna

Dataslab Ukraine
Ukraine, Kyiv